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FPGA Implementation of a Recursive Rank One Updating Matrix Inversion Algorithm for Constrained MPC

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3 Author(s)
Minghua He ; Fac. of Electr. Eng. & Autom., Fuzhou Univ. ; Chong Chen ; Xueying Zhang

The core computation load of a constrained model predictive control (MPC) problem with interior point method is to solve a linear equation during every iteration. According to the specific feature from problem formulation for constrained MPC, this paper proposed a recursive rank one updating matrix inversion algorithm for solving the linear equation. This algorithm is hardware implementation oriented. Its efficiency in implementing constrained MPC is verified by FPGA implementation results. More over, some important issues related to FPGA implementation of control algorithms are also investigated and discussed

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Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on  (Volume:1 )

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